Wind power station wind speed prediction method based on wavelet analysis and system thereof

A technology of wind speed prediction and wavelet analysis, applied in the direction of fluid speed measurement, speed/acceleration/shock measurement, measuring devices, etc., can solve the problems of large amount of calculation, high error accumulation rate, and inability to forecast fine wind speed distribution, etc., to improve The effect of accuracy and effective technical support

Active Publication Date: 2012-05-30
THE HONG KONG POLYTECHNIC UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the prediction of wind speed in the prior art mainly depends on the physical prediction model, which has a large amount of calculation, a high error accumulation rate

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  • Wind power station wind speed prediction method based on wavelet analysis and system thereof
  • Wind power station wind speed prediction method based on wavelet analysis and system thereof
  • Wind power station wind speed prediction method based on wavelet analysis and system thereof

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] figure 1 Show the block diagram of the wind farm wind speed prediction system 1 based on wavelet analysis of the present invention, the wind farm wind speed prediction system 1 based on wavelet analysis includes a modeling prediction module 11, a variable determination module 12, a reading module 13, a data decomposition module 14, The reconstruction weighting module 15 and the weight adjustment module 16, wherein, the variable determination module 12, the data decomposition module 14 and the reconstruction weighting module 15 are all connected with the modeling prediction module 11, the rea...

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Abstract

The invention relates to a wind power station wind speed prediction method based on wavelet analysis and a system thereof. The method comprises the following steps: according to a specific prediction time interval, determining an input and an output variable of a prediction model; reading a historical wind speed value and correcting an incomplete point in the historical wind speed value so as to acquire a training sample value sequence of a wind speed prediction model; carrying out rapid wavelet decomposition to the training sample value sequence so as to acquire an approximation detail component value sequence; establishing the wind speed prediction model according to the approximation detail component value sequence so as to carry out the wind speed prediction. According to the wind power station wind speed prediction method based on the wavelet analysis and the system of the invention, through the wavelet decomposition, the training sample value sequence is decomposed into different layers according to a scale so that a trend term, a period term and a random term are separated. Each layer is individually analyzed and predicted and finally the corresponding prediction value can be obtained through reconstruction. By using the method, any prediction interval can be selected according to different demands. The wind speed prediction which is many steps ahead and has high precision can be performed.

Description

technical field [0001] The present invention relates to a wind speed prediction method and system for a wind farm, and more specifically, to a wind speed prediction method and system for a wind farm based on wavelet analysis. Background technique [0002] Wind power, as one of the most competitive power generation methods in the short term, has the advantages of being renewable, pollution-free, occupying less land, short construction period, flexible investment, high level of automation, and fewer management personnel. However, wind does not exist all the time, it mainly depends on the change of air flow, so wind energy is a random energy source with low density. The amount of energy generated by it is unstable, severely restricted by geographical location, and the conversion efficiency is low. [0003] my country has a vast territory, a long coastline, and abundant wind energy resources. With the continuous development of my country's wind power industry, the total instal...

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Application Information

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IPC IPC(8): G01P5/00
Inventor 董朝阳黄杰波孟科
Owner THE HONG KONG POLYTECHNIC UNIV
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